Software Engineer - Video Pipeline

You are seeking a Software Engineer specializing in Video Pipelines to join the Video AI Platform team. Your primary responsibility will involve developing robust and high-performance video pipelines for Video-on-Demand (VoD) and Live streaming systems. Your hands-on approach will be crucial in implementing modules for video decoding, encoding, transcoding, and modification to ensure the platform delivers low-latency, high-quality video experiences at scale. Key Responsibilities: - Build and maintain video ingestion, decoding, encoding, and transcoding pipelines for VoD and Live systems. - Integrate adaptive bitrate streaming (HLS, DASH) into delivery pipelines. - Collaborate with frameworks like FFmpeg, GStreamer, NVIDIA Video Codec SDK, and VAAPI to implement efficient video processing components. - Ensure pipeline compatibility with multiple codecs and containers (H.264/H.265, AV1, VP9, MP4, MKV, TS). In terms of Video Modification Modules, your tasks will include: - Implementing frame-accurate transformations such as redaction (face/voice blurring), reframing, auto-zoom, and overlays. - Building timeline-aware components that align scene metadata with video streams for precise modifications. - Optimizing GPU-accelerated filters for real-time and batch processing. Regarding Performance & Scalability, you will: - Profile and tune pipelines for low-latency live streaming and high-throughput VoD workflows. - Contribute to scaling strategies for large video libraries and live event workloads. - Optimize for cloud cost efficiency while maintaining reliability. Your Collaboration & Execution responsibilities entail: - Translating designs into production components in collaboration with senior engineers. - Integrating model outputs from AI teams into video pipelines (e.g., scene tagging, redaction cues). - Participating in code reviews, testing, and deployment automation. Qualifications: Must-Have: - 2-5 years of experience in video pipeline or multimedia systems engineering. - Strong coding skills in C++ and/or Python. - Hands-on experience with FFmpeg, GStreamer, libx264/x265, NVENC/DEC. - Understanding of video codecs and streaming protocols (H.264/H.265, VP9, AV1, HLS, DASH, RTMP). - Familiarity with GPU acceleration (CUDA, NVENC/DEC, VAAPI, or equivalent). Nice-to-Have: - Exposure to cloud-native deployments (AWS/GCP/Azure, Docker, Kubernetes). - Experience in real-time video editing or transformation pipelines. - Familiarity with timeline-based metadata, content retrieval, or AI-driven video modifications. - Knowledge of adaptive streaming and edge delivery optimizations.,